Evidence map›Paper›PMID 41249375›Full record

ArticleScientific reports2025

Synergistic effects of body fat percentage and C-reactive protein triglyceride-glucose index on cardiovascular disease risk: a Chinese cohort study.

Xiaoyuan Tian, Zhenan Qu, Xianglin Yang, Ying Cao, Bocheng Zhang

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoyuan TianSecond Affiliated Hospital, Dalian Medical University, Dalian, 116000, China.
Zhenan QuAffiliated Zhongshan Hospital, Dalian University, Dalian, Liaoning, China.
Xianglin YangSecond Affiliated Hospital, Dalian Medical University, Dalian, 116000, China.
Ying CaoSecond Affiliated Hospital, Dalian Medical University, Dalian, 116000, China.
Bocheng ZhangSecond Affiliated Hospital, Dalian Medical University, Dalian, 116000, China. zbocheng@outlook.com.

Funding

Natural Science Foundation of Liaoning Province 2024-BS-186
6 · The paper itself

Abstract

Obesity, insulin resistance (IR), and inflammation are key modifiable cardiovascular disease (CVD) risk factors. We investigated the synergistic effects of body fat percentage (BFP) and the C-reactive protein-triglyceride-glucose index (CTI) on CVD risk. This prospective cohort included 6303 CVD-free Chinese adults (≥ 45 years) from the CHARLS. BFP was calculated via the CUN-BAE equation; the CTI integrates CRP, triglycerides, and fasting glucose. Multivariate Cox regression was used to assess associations with incident CVD over 7 years. Mediation and receiver operating characteristic (ROC) analyses were used to evaluate pathways and predictive performance. Among 1124 incident CVD cases, concurrent high BFP (> 30.8%) and CTI (> 4.68) showed 1.48-fold higher CVD risk (95% CI 1.21-1.80) versus low-level groups. The combined BFP-CTI model improved prediction (AUC = 0.581; DeLong's P < 0.05) over individual indices. Mediation revealed bidirectional effects: CTI mediated 8.76% of BFP's CVD association, while BFP mediated 12.22% of CTI's effect (P < 0.001). Synergy was strongest in adults ≤ 60y (HR = 1.76, CI 1.25-2.48) and diabetics (HR = 3.52, CI 1.69-7.31). The combination of high BFP and high CTI was associated with a synergistic increase in CVD risk, with bidirectional mediation between adiposity and metabolic-inflammation pathways. Joint assessment enhances risk stratification, particularly in younger and diabetic populations.

Indexed as

Adipose TissueBlood GlucoseCardiovascular DiseasesC-Reactive ProteinTriglyceridesAgedChinaCohort StudiesEast Asian PeopleFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedProspective StudiesRisk FactorsBlood GlucoseC-Reactive ProteinTriglyceridesBody fat percentageCardiovascular diseaseCHARLSC-reactive protein Triglyceride-glucose indexInsulin resistance

Identifiers

PMID41249375
PMCPMC12624090

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.